His research program explores the use of nanostructured material architectures for solar energy conversion. From 1996 to 2006, he was a research staff member at the IBM Thomas J. Watson Research Center in Yorktown Heights, New York investigating using polymer self-assembly for fabrication of high-performance semiconductor electronics. During his career, he has also performed experimental research in low-temperature scanning tunneling microscopy, single-electron tunneling devices, superconductivity in metal nanoparticles, nanocrystal-based electronic devices, and ferroelectric non-volatile memories. He earned his doctorate in physics from Harvard University and bachelor’s in physics and mathematics from Vanderbilt University. He is a fellow of the American Physical Society, a member of the Board of Directors of the Materials Research Society, and a senior member of the Institute of Electrical and Electronics Engineers.
He is a research and development engineer in the Experiment Analysis Group of Nuclear Science and Technology at Idaho National Laboratory. In his present position, he leads in-pile instrumentation development for transient irradiation testing and is a principal investigator for transient testing of metallic fuels. He is an experiment safety and performance analyst for experiments at the Advanced Test Reactor and the Transient Reactor Test Facility. In addition, he is a technical lead for measurement of thermophysical properties of nuclear materials. He has expertise in energy transport in condensed matter, liquids, gases, and material interfaces. He has significant experience in advanced measurements of thermophysical properties of nuclear materials using multi-scaled approaches, including nano-scale measurements using atomic force microscopy, laser-based microscopic photothermal methods, and bench-scale high temperature thermal conductivity techniques. He also has expertise in numerical and commercial finite element analysis. He holds bachelor’s and master’s degrees from Utah State University and a joint doctorate from Utah State University and Universite de Reims Champagne-Ardenne. He is a member of American Nuclear Society (ANS) and American Society of Mechanical Engineers. He was the founding president of the ANS Student Chapter at Utah State University and currently serves as an Executive Committee member for the Material Science and Technology Division of ANS.
He is a computer scientist in the Global Security Sciences Division at Argonne National Laboratory working on a variety of Modeling and Simulation (M&S) projects. He is an integral part of the Analysis of Mobility Platforms (AMP) logistics modeling project for U.S. Transportation Command. He has also been the lead investigator on a program for the Naval Research Laboratory doing Electronic Warfare (EW) M&S, which includes both EW system modeling as well as detailed Radio Frequency (RF) propagation modeling in complex environments. Among his research interests is the development of remotely distributed deep-learning image recognition systems for Unmanned Aerial Systems (UAS) detection. He participated in numerous government and military test and evaluation events for UAS mitigation systems and did analysis on UAS threats to critical infrastructure and methods for protection. He graduated from Carnegie Mellon University with a degree in computer science and robotics and is currently pursuing a master's in analytics at the University of Chicago with an emphasis on advanced computational models, including computer vision and machine learning algorithms.
He is a materials engineer and laboratory fellow at Idaho National Laboratory. He holds a doctorate in metallurgical engineering from Michigan Technological University. He serves as the technical lead for the Next Generation Nuclear Plant High Temperature Alloys Research and Development Program and on the management board as the Metals Working Group chair for the Gen IV International Forum Very High Temperature Reactor Materials Program and on the strategic planning board for Nuclear Energy Enabling Technologies Materials Integration. His specialties include the research and development of alloys for use in high-temperature reactors. He recently was the principal investigator and technical lead on Next Generation Nuclear Plant High Temperature Metals Research and Development for the U.S. Department of Energy. He is the author of 65 peer-reviewed articles and 35 conference proceedings, and holds seven U.S. patents.
He received his bachelor's in chemistry from Reed College in 1990, and his doctorate in chemistry from Harvard University in 1996. He specializes in multi-disciplinary problem solving in the physical sciences and their corresponding engineering disciplines. Over his 22-year research and development (R&D) career, he has developed expertise in physical chemistry, chemical kinetics, atmospheric chemistry, instrumentation, electronics (digital, analog, power, and RF), spectroscopic sensing, lasers, fiber optics and wave guides, classical optics, electro-optics, electromagnetics, electromechanical systems, heat transfer, materials science, mechanical engineering, manufacturing processes, and renewable energy technologies.
He has won four R&D 100 Awards, holds numerous patents, has 10 active licenses on his inventions, and given many invited talks on the subject of serial innovation. In 2015, he was selected by the U.S. Department of Energy as its Inaugural SunShot Innovator in Residence. He invented the Radical-Ion Flow Battery under the SunShot Innovator in Residence Program to address the need for low-cost, highly scalable electrochemical grid storage, and the performance limitations of prior art battery chemistries in this demanding application. His current research portfolio is focused on electrochemical grid storage, the elimination of rare-earth magnets in wind turbines, and semiconductor thermal management (power electronics, CPUs, GPUs).
Charlie is Senior Computer Scientist at Argonne National Laboratory and the founding director of the Urban Center for Computation and Data (UrbanCCD), a joint Argonne-UChicago research center that brings scientists, artists, architects, technologists, and policy makers together to use computation, data analytics, and embedded system to understand the dynamics, design, and resilient operation of cities.
He is also a visiting artist at the School of the Art Institute of Chicago. Before joining Argonne in 2000, Charlie served as Chief Technology Officer of the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign. Beginning at NCSA’s founding in 1985, he participated in the development of NSFNET, one of several early national networks that evolved into what we now experience as the Internet. During the exponential growth of the web following the release of NCSA’s Mosaic web browser, his team developed and supported NCSA’s scalable web server infrastructure. Chicago’s “Tech 50” technology leaders.
As the Chemical Sciences Division director of Strategic Initiatives and Joint Center for Artificial Photosynthesis (JCAP) deputy director, she leads technical research and development program design and management, both foundational and applied, in semiconductor and energy science and technology arenas. She is broadly experienced in characterization of complex materials systems using solid state and gas phase methods and modeling of materials transformations, as well as process innovation, development, and root cause analysis, particularly for nanoscale modifications. Prior to joining Lawrence Berkeley National Laboratory, she managed materials development for the startup InVisage Technologies and handled materials research, business planning, and research alliances at IBM’s Almaden Research Center.
He received a doctorate in computer science at the University of Tennessee in 2009, master’s in computer systems and software design, and his bachelor’s with a double major in computer science and mathematics with physics from Jacksonville State University. His research spans government-scale database and management systems, graphical user interface design, medical software used for surgery, gesture recognition, graph-theoretic analysis, optimization, automation, systems genetic research, magnetic resonance imaging, image processing, artificial intelligence, supercomputing, and energy-efficient buildings. He currently serves at Oak Ridge National Laboratory’s Building Technologies Research & Integration Center (BTRIC) as a subprogram manager for software tools and models with oversight of projects, involving websites, web services, databases, simulation engine development, visual analytics, supercomputing, and artificial intelligence. He has lead creation of the world’s most accurate method for calibrating a simulation model to measured data, fastest building model creator, fastest buildings simulator, and largest archive of simulated building data. He is a joint faculty member at the University of Tennessee’s Electrical Engineering and Computer Science Department, and an active member of American Society of Heating, Refrigerating and Air-Conditioning Engineers and Institute of Electrical and Electronics Engineers.
His research interest is focused on the study of processing, microstructure, and properties of a wide range of metallic alloys used at high temperatures in automotive, industrial, and nuclear applications. He’s active in the study of materials, such as cast irons, stainless steels, and Ni-based alloys used in various applications, including gasoline and diesel engines and exhaust systems, industrial and chemical processing equipment, and high temperature heat exchangers in nuclear reactors. He also has research experience in electronic materials, MEMS devices, and sensors with hands-on experience in failure analysis of microelectronic devices and packages. He has more than 11 issued patents, four R&D 100 awards in collaboration with various industrial partners, and one award for excellence in technology transfer, South East Region Federal Laboratory Consortium.
His research explores novel approaches for rational fabrication of designed nanoscale architectures through self-assembly. He developed methods for creating crystalline and cluster structures based on a programmable assembly of DNA-encoded, nano-objects. His interests include structural aspects of soft matter at nanoscale and at the interfaces, material transformation under environmental factors, and use of novel designed nanomaterials for optical, biomedical, and energy harvesting applications. He received a doctorate in physics from Bar-Ilal University (Israel) and performed his postdoctoral work at Harvard University.
His research spans battery research, protonic conductors, and fuel cells. He supervises the daily operation of the Battery Manufacturing Facility (BMF) at Oak Ridge National Laboratory (ORNL). His recent work at ORNL focuses on material processing and characterization, roll-to-roll manufacturing, electrode engineering, and cell manufacturing for low-cost, high energy and power density lithium-ion batteries with long calendar life. He developed novel techniques for electrode manufacturing, such as aqueous processing and electron beam curing, to reduce processing cost and environmental effect. He also developed several techniques for quality control to reduce scrape rate in cell manufacturing. He holds a doctorate degree from University of Florida and bachelor’s and master’s degrees from University of Science and Technology of China. All are in materials science and engineering.
He is a research scientist specializing in crosscutting applications and advancement of sensor research to enable resilient real-time measurement and control of process variables within the nuclear and other critical industries. His research expertise includes applications of pattern recognition and machine learning techniques, instrumentation and controls, data analytics, battery modeling, risk and reliability, digital signal processing, acoustic telemetry, diagnosis/prognosis using wavelets and empirical mode decomposition, time series analysis, power management, wireless communication protocols, and wireless sensor networks. He has authored 51 peer-reviewed publications and one book chapter, and two U.S. patent applications filed. To date, he was involved in 13 research projects and has been the principal investigator for eight. He serves as a reviewer for the Institute of Electrical and Electronics Engineers (IEEE) Transactions on Image Processing, Energy Conversion, Industrial Informatics, Industrial Applications, Power Delivery, Systems, Machine and Cybernetics, Instrumentation and Measurement, and the American Nuclear Society (ANS) Transactions on Nuclear Technology. He serves as an external reviewer for U.S. Department of Energy’s Office of Science and Office of Nuclear Energy. Since 2009, he has been section editor for the Journal of Pattern Recognition Research. Since 2015, he has served as an elected member of the ANS Human Factors, Instrumentation, and Controls Division and the American Society of Mechanical Engineers Nondestructive Prognostics and Diagnostic Division since 2016.
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